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Computational finite element bone mechanics accurately predicts mechanical competence in the human radius of an elderly population.

Abstract：

:High-resolution peripheral quantitative computed tomography (HR-pQCT) is clinically available today and provides a non-invasive measure of 3D bone geometry and micro-architecture with unprecedented detail. In combination with microarchitectural finite element (μFE) models it can be used to determine bone strength using a strain-based failure criterion. Yet, images from only a relatively small part of the radius are acquired and it is not known whether the region recommended for clinical measurements does predict forearm fracture load best. Furthermore, it is questionable whether the currently used failure criterion is optimal because of improvements in image resolution, changes in the clinically measured volume of interest, and because the failure criterion depends on the amount of bone present. Hence, we hypothesized that bone strength estimates would improve by measuring a region closer to the subchondral plate, and by defining a failure criterion that would be independent of the measured volume of interest. To answer our hypotheses, 20% of the distal forearm length from 100 cadaveric but intact human forearms was measured using HR-pQCT. μFE bone strength was analyzed for different subvolumes, as well as for the entire 20% of the distal radius length. Specifically, failure criteria were developed that provided accurate estimates of bone strength as assessed experimentally. It was shown that distal volumes were better in predicting bone strength than more proximal ones. Clinically speaking, this would argue to move the volume of interest for the HR-pQCT measurements even more distally than currently recommended by the manufacturer. Furthermore, new parameter settings using the strain-based failure criterion are presented providing better accuracy for bone strength estimates.

journal_name

Bone

journal_title

Bone

authors

Mueller TL,Christen D,Sandercott S,Boyd SK,van Rietbergen B,Eckstein F,Lochmüller EM,Müller R,van Lenthe GH

doi

10.1016/j.bone.2011.02.022

subject

Has Abstract

pub_date

2011-06-01 00:00:00

pages

1232-8

issue

eissn

8756-3282

issn

1873-2763

pii

S8756-3282(11)00074-3

journal_volume

pub_type

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Computational finite element bone mechanics accurately predicts mechanical competence in the human radius of an elderly population.